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Learning Concepts with Energy Functions
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 292 posts.
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Reinforcement Learning with Prediction-Based Rewards
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Accelerated “Ray Tracing in One Weekend” in CUDA
Recent announcements of NVIDIA’s new Turing GPUs, RTX technology, and Microsoft’s DirectX Ray Tracing have spurred a renewed interest in ray tracing. Using these technologies vastly simplifies the…
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Google-Landmarks: A New Dataset and Challenge for Landmark Recognition
Posted by André Araujo and Tobias Weyand, Software Engineers, Google ResearchImage classification technology has shown remarkable improvement over ...
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Gym Retro
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Deep Learning Basics with Python, TensorFlow and Keras
Python Programming tutorials from beginner to advanced on a massive variety of topics. All video and text tutorials are free.
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Letting neural networks be weird
Machine learning algorithms are not like other computer programs. In the usual sort of programming, a human programmer tells the computer exactly what to do. In machine learning, the human programmer merely gives the algorithm the problem to be solved, and through trial-and-error the algorithm has to figure out how to…
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My Experience and Advice for Using GPUs in Deep Learning: Which GPU to get
Here, I provide an in-depth analysis of GPUs for deep learning/machine learning and explain what is the best GPU for your use-case and budget.
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CUDA 10 in Clojure
CUDA 10 support has just landed in ClojureCUDA with the latest version 0.6.0.
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Using machine learning to index text from billions of images
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
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Debugging with intelligence via probabilistic inference
Debugging with intelligence via probabilistic inference Xu et al., ICSE’18 Xu et al. have built a automated debugger that can take a single failing test execution, and with minimal interactio…
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Night Sight: Seeing in the Dark on Pixel Phones
Posted by Marc Levoy, Distinguished Engineer and Yael Pritch, Staff Software Engineer Night Sight is a new feature of the Pixel Camera app that let...
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Making floating point math highly efficient for AI hardware
In recent years, compute-intensive artificial intelligence tasks have prompted creation of a wide variety of custom hardware to run these powerful new systems efficiently. Deep learning models, suc…
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Learning ‘Montezuma’s Revenge’ from a single demonstration
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Yann LeCun vs. Christopher Manning on Need for Priors in Deep Learning
Earlier this month, I had the exciting opportunity to moderate a discussion between Professors Yann LeCun and Christopher Manning, ti...
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A promenade of PyTorch
Musings on navigating the tech bubble with philosophy and self-improvement.
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Exploring Word2Vec
In my previous blog post, I explored some of the early ways of word embeddings and their shortcomings. The purpose of this post is to explo...
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A Deep Dive into Monte Carlo Tree Search
(This was originally a sponsor talk given at PyCon 2018. Unfortunately there is no video.)
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The deepest problem with deep learning
Some reflections on an accidental Twitterstorm, the future of AI and deep learning, and what happens when you confuse a schoolbus with a…
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iOS 12 Core ML Benchmarks
With the A11 Bionic’s Neural Engine in last year’s iPhone X, Apple introduced its first chip for hardware-accelerated AI. This year, Apple promised huge performance increases to Core ML in their iOS 12 update. They claim models run 9X faster… Continue reading iOS 12 Core ML Benchmarks